analyzing-marketing-campaign
analyzing-marketing-campaign is a Marketing analytics & attribution skill for AI agents, published by datawhalechina in the agent-skills-with-anthropic repository on GitHub. Skillspace rates analyzing-marketing-campaign C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Analyze weekly marketing campaign performance data across channels. Use when analyzing multi-channel digital marketing data to calculate funnel metrics (CTR, CVR) and compare to benchmarks, compute cost and revenue efficiency metrics (ROAS, CPA, Net Profit), or get budget reallocation recommendations based on performance rules.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 1,398
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Portable: works in any project. Generic multi-channel campaign metrics from CSV; any marketer could use
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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